7 research outputs found
Joint effects of household ventilation and indoor air pollutants on lung cancer risk.
a<p>High-temperature cooking oil and coal used for cooking were included in kitchen ventilation, solid fuels used for heating was included in bedroom ventilation while ever smoking and secondhand smoke at home were included in both kitchen and bedroom ventilation.</p>b<p>Adjusted for age (continuous), gender, education level (illiterate/primary school/middle school/high school/college), income 10 years ago (Yuan/year, continuous), body mass index (kg/m<sup>2</sup>, continuous), family history of lung cancer (yes/no), pack-years of smoking (continuous), ethanol consumption (ml/week, continuous), and study area (Dafeng/Ganyu).</p>c<p>The joint effects category for further estimation of additive interaction.</p>d<p>The reference category for measures of interaction on additive scale.</p
Characteristics of cases and controls.
a<p>Based on Chi-squared tests.</p>b<p>Chinese recommend standard was used for the cut-off points of overweight and obesity: underweight (BMI <18.5), normal weight (BMI 18.5–23.9), overweight (BMI 24.0–27.9), obese (BMI≥28.0).</p
Distribution of factors related to indoor air pollution and their associations with lung cancer risk.
a<p>Adjusted for age (continuous), gender, education level (illiterate/primary school/middle school/high school/college), income 10 years ago (Yuan/year, continuous), body mass index (kg/m<sup>2</sup>, continuous), family history of lung cancer (yes/no), pack-years of smoking (continuous), ethanol consumption (ml/week, continuous), and study area (Dafeng/Ganyu).</p
Joint effects of household ventilation and number of pollutant sources on lung cancer risk.
a<p>Adjusted for age (continuous), gender, education level (illiterate/primary school/middle school/high school/college), income 10 years ago (Yuan/year, continuous), body mass index (kg/m2, continuous), family history of lung cancer (yes/no), pack-years of smoking (continuous), ethanol consumption (ml/week, continuous), and study area (Dafeng/Ganyu).</p>b<p>The joint effects category for further estimation of additive interaction.</p>c<p>The reference category for measures of interaction on additive scale.</p
Additional file 1: of Medical expenses of urban Chinese patients with stomach cancer during 2002–2011: a hospital-based multicenter retrospective study
Figure S1. Yearly trend of medical expense for stomach cancer diagnosis and treatment per patient, by province groups, 2002-2011 . A to B show the yearly trend of medical expense per patient by province (A), by data reliability (B). (PDF 418 kb
Additional file 2: of Medical expenses of urban Chinese patients with stomach cancer during 2002–2011: a hospital-based multicenter retrospective study
Table S1. Medical expenses for stomach cancer diagnosis and treatment per patient by stage and therapy (average expenses, 95%CI). (DOCX 15 kb
Additional file 3: of Medical expenses of urban Chinese patients with stomach cancer during 2002–2011: a hospital-based multicenter retrospective study
Table S2. Generalized linear model (GLM)-Gamma regression model. (DOCX 18 kb